Direct light differential measurement system
US-2024423517-A1 · Dec 26, 2024 · US
US2016156891A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016156891-A1 |
| Application number | US-201414905811-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 31, 2014 |
| Priority date | Aug 3, 2013 |
| Publication date | Jun 2, 2016 |
| Grant date | — |
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Monochromatic cameras and methods for using such cameras to obtain a still or video color image of an object or scene. The image sensor of such cameras is clear, without a color filter array. A diffused-dispersed and optionally randomized image of the object or scene obtained at the image sensor is processed directly into a number R<K of spectral images in R wavebands. K−R spectral images are interpolated from the R spectral images. A color image is then reconstructed using the directly processed R spectral images and the K−R interpolated spectral images. The interpolated images may exemplarily be obtained using a spline subdivision algorithm.
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1 . A method for obtaining a color image of an object or scene using a camera having a pixelated clear image sensor without color filters, the method comprising the steps of: a) obtaining a diffused-dispersed (DD) image at the image sensor in a snapshot; b) processing the DD image to obtain K spectral images in K spectral bands where K≧3; and c) reconstructing a color image from the K spectral images. 2 . The method of claim 1 , wherein the step of obtaining a DD image includes obtaining a diffused-dispersed and randomized (DDR) image. 3 . The method of claim 1 , wherein the step of processing the DD image includes processing the DD image to provide R<K spectral images in R wavebands and using the R images to obtain K−R interpolated images, and wherein the step of reconstructing a color image from the K spectral images includes reconstructing a color image using the R spectral images and the K−R interpolated spectral images. 4 . The method of claim 2 , wherein the step of processing the DDR image includes processing the DDR image to provide R<K spectral images in R wavebands and using the R images to obtain K−R interpolated images, and wherein the step of reconstructing a color image from the K spectral images includes reconstructing a color image using the R spectral images and the K−R interpolated spectral images. 5 . The method of claim 3 , wherein the interpolated images are obtained using a spline subdivision algorithm. 6 . The method of claim 5 , wherein the spline subdivision algorithm is a binary spline subdivision algorithm. 7 . The method of claim 5 , wherein each spectral image includes a set X×Y of multipixels, each multipixel including K wavebands, and wherein the interpolation is performed simultaneously on the entire multipixel set. 8 . The method of claim 6 , wherein each spectral image includes a set X×Y of multipixels, each multipixel including K wavebands, and wherein the interpolation is performed simultaneously on the entire multipixel set. 9 . The method of claim 1 , wherein the step of reconstructing a color image from the K spectral images includes reconstructing a still color image. 10 . The method of claim 1 , wherein the step of reconstructing a color image from the K spectral images includes reconstructing a video color image or color frame. 11 . A camera for obtaining a color image of an object or scene, comprising: a) a lens; b) a pixelated clear image sensor without color filters; c) diffuser means to obtain in a snapshot a diffused-dispersed (DD) image at the image sensor; and d) a processor configured to process the DD image into K spectral images in K spectral bands where K≧3, and to reconstruct a color image from the K spectral images. 12 . The camera of claim 11 , wherein the diffuser means include a restricted isometry property (RIP) diffuser. 13 . The camera of claim 12 , further comprising a randomizer used in conjunction with the diffuser means to provide a diffused-dispersed and randomized (DDR) image at the image sensor and wherein the processor is further configured to process the DDR image into K spectral images in K spectral bands where K≧3, and to reconstruct a color image from the K spectral images. 14 . The camera of claim 12 , wherein the processor is further configured to process the DD image to obtain directly R<K spectral images in R wavebands, to interpolate from the R spectral images K−R interpolated spectral images and to reconstruct the color image using the directly processed R spectral images and the K−R interpolated spectral images. 15 . The camera of claim 13 , wherein the processor is further configured to process the DDR image to obtain directly R<K spectral images in R wavebands, to interpolate from the R spectral images K−R interpolated spectral images and to reconstruct the color image using the directly processed R spectral images and the K−R interpolated spectral images. 16 . The camera of claim 13 , wherein the randomizer is a hardware randomizer. 17 . The camera of claim 13 , wherein the randomizer is implemented in software. 18 . The camera of claim 14 , wherein the processor configuration to interpolate from the R spectral images K−R interpolated spectral images includes a configuration to obtain the K−R spectral images using a spline subdivision algorithm. 19 . The camera of claim 18 , wherein the spline subdivision algorithm is a binary spline subdivision algorithm. 20 . The camera of claim 15 , wherein the processor configuration to interpolate from the R spectral images K−R interpolated spectral images includes a configuration to obtain the K−R spectral images using a spline subdivision algorithm. 21 . The camera of claim 20 , wherein the spline subdivision algorithm is a binary spline subdivision algorithm. 22 . The camera of claim 11 , wherein the color image is a still color image. 23 . The camera of claim 11 , wherein the color image is a video color image or color frame.
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